| Literature DB >> 33594215 |
Colin M Court1,2,3, Shuang Hou1, Lian Liu4, Paul Winograd1,2, Benjamin J DiPardo1,2, Sean X Liu5, Pin-Jung Chen5, Yazhen Zhu5, Matthew Smalley5, Ryan Zhang5, Saeed Sadeghi6, Richard S Finn6, Fady M Kaldas1, Ronald W Busuttil1,7, Xianghong J Zhou8, Hsian-Rong Tseng5,7,9, James S Tomlinson1,2,9, Thomas G Graeber3,5,7,9, Vatche G Agopian10,11.
Abstract
Somatic copy number alterations (SCNAs) are important genetic drivers of many cancers. We investigated the feasibility of obtaining SCNA profiles from circulating tumor cells (CTCs) as a molecular liquid biopsy for hepatocellular carcinoma (HCC). CTCs from ten HCC patients underwent SCNA profiling. The Cancer Genome Atlas (TCGA) SCNA data were used to develop a cancer origin classification model, which was then evaluated for classifying 44 CTCs from multiple cancer types. Sequencing of 18 CTC samples (median: 4 CTCs/sample) from 10 HCC patients using a low-resolution whole-genome sequencing strategy (median: 0.88 million reads/sample) revealed frequent SCNAs in previously reported HCC regions such as 8q amplifications and 17p deletions. SCNA profiling revealed that CTCs share a median of 80% concordance with the primary tumor. CTCs had SCNAs not seen in the primary tumor, some with prognostic implications. Using a SCNA profiling model, the tissue of origin was correctly identified for 32/44 (73%) CTCs from 12/16 (75%) patients with different cancer types.Year: 2020 PMID： 33594215 DOI： 10.1038/s41698-020-0123-0
Source DB: PubMed Journal: NPJ Precis Oncol ISSN： 2397-768X